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pmid:35725413
The feasibility of proteomics sequencing based immune-related prognostic signature for predicting clinical outcomes of bladder cancer patients.
Liren Jiang · Siteng Chen · Qi Pan · Jun Zheng · Jin He · Juanjuan Sun · Yaqin Han · Jiji Yang · Ning Zhang · Guohui Fu · Feng Gao
BMC cancer · 2022 doi:10.1186/s12885-022-09783-y
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Experiment
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Complete file
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However, its therapeutic effects are improvable and could be affected by tumor immune microenvironment. Hence it is interesting to find some more prognostic indicators for BCa patients concerning immunotherapies.\nMETHODS: In the present study, we retrospect 129 muscle-invasive BCa (MIBC) patients with radical cystectomy in Shanghai General Hospital during 2007 to 2018. Based on the results of proteomics sequencing from 9 pairs of MIBC tissue from Shanghai General Hospital, we focused on 13 immune-related differential expression proteins and their related genes. An immune-related prognostic signature (IRPS) was constructed according to Cancer Genome Atlas (TCGA) dataset. The IRPS was verified in ArrayExpress (E-MTAB-4321) cohort and Shanghai General Hospital (General) cohort, separately. A total of 1010 BCa patients were involved in the study, including 405 BCa patients in TCGA cohort, 476 BCa patients in E-MTAB-4321 cohort and 129 MIBC patients in General cohort.\nRESULT: It can be indicated that high IRPS score was related to poor 5-year overall survival and disease-free survival. The IRPS score was also evaluated its immune infiltration. We found that the IRPS score was adversely associated with GZMB, IFN-γ, PD-1, PD-L1. Additionally, higher IRPS score was significantly associated with more M2 macrophage and resting mast cell infiltration.\nCONCLUSION: The study revealed a novel BCa prognostic signature based on IRPS score, which may be useful for BCa immunotherapies.", "claims": [{"id": "claim-method", "statement": "These 13 selected genes were conducted least absolute shrinkage and selection operator (LASSO) cox regression analysis via glmnet package.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35725413", "locator": "sections[5] \"Construction of the prognosis model for BCa\" paragraph 2", "quote": "These 13 selected genes were conducted least absolute shrinkage and selection operator (LASSO) cox regression analysis via glmnet package."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All data generated or analyzed during this study are included in this published article.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35725413", "locator": "sections[22] \"notes\" paragraph 1", "quote": "All data generated or analyzed during this study are included in this published article."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:35725413"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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